Transmettre l’art de transmettre : la grammaire latine entre Antiquité et Moyen Âge (ive-ixe siècle)
Bibliographic record
Abstract
La grammaire est la science fondamentale pour la compréhension et la transmission de la langue, vecteur de tous les savoirs. Dans les turbulences culturelles que connaît le monde romain d’Occident, l’Africain Donat a recueilli et systématisé (canonisé) les diverses traditions de la grammaire latine. Quatre siècles plus tard, les savants de la renaissance carolingienne restaurent et perfectionnent cette grammaire, qu’ils considèrent comme la base de toutes les sciences, celle qui permet d’accéder aux textes, et en particulier au texte par excellence : la Bible. Ainsi s’est mise au point la langue qui sera celle de la science médiévale, et pour partie moderne. On voudrait montrer comment la grammaire latine s’est installée au cœur du nouvel empire carolingien, via, bien sûr, l’Italie et l’Espagne, anciennes régions romanisées, mais aussi, ce qui est a priori beaucoup plus surprenant, via les îles Britanniques et en particulier l’Irlande, qui n’a jamais été touchée par l’Empire romain et où le latin est « langue étrangère ».
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".